Skill UI

This skill guides the creation of automated workflows for enriching raw Indicators of Compromise (IOCs) with multi-source threat intelligence context. It is designed for integration into SOAR platforms (e.g., Cortex XSOAR, Splunk SOAR) or Python pipelines. By automatically querying multiple sources like VirusTotal, AbuseIPDB, and MISP, it significantly reduces analyst mean time to triage (MTTT) and standardizes the resulting threat context and confidence scoring.

This skill parses various cyber threat intelligence (CTI) reports (Mandiant, CrowdStrike, etc.) using NLP and specialized libraries (stix2, mitreattack-python, spaCy). It systematically extracts adversary behaviors, maps them to MITRE ATT&CK IDs, and constructs a searchable STIX 2.1 Attack Pattern library. This is essential for threat-informed detection engineering, generating detection rules (Sigma, YARA), and validating security controls.

Master the creation of a two-tier Public Key Infrastructure (PKI) Certificate Authority hierarchy—including an offline Root CA and an operational Intermediate CA. This skill guides you through using OpenSSL and Python cryptography to manage X.509 certificate issuance, configure Certificate Revocation Lists (CRLs), set up OCSP responders, and enforce strict certificate policies. Essential for deploying robust trust anchors for TLS, code signing, or client authentication.

This tool deploys decoy canary files in critical system directories to provide early warning against ransomware attacks. Utilizing Python's watchdog library, it monitors for any read, modify, rename, or delete operations on these decoy files. Detection triggers immediate alerts via multiple channels (Email, Slack, Syslog), helping security teams identify and respond to malicious activity before full data encryption occurs. It serves as a crucial detection layer in a layered security defense.

This skill audits Azure Blob and ADLS storage accounts for critical security misconfigurations. It checks for public access exposure, weak or long-lived SAS tokens, missing encryption at rest, and outdated TLS versions. Using the Python SDK, it generates a detailed, risk-scored report to enhance cloud security posture management and detect potential data exposure risks.

A comprehensive guide for authorized penetration testers on identifying and exploiting insecure deserialization vulnerabilities across multiple languages (Java, PHP, Python, .NET). Covers techniques for generating payloads using tools like ysoserial and phpggc, and testing various application components such as cookies, HTTP parameters, and message queues to achieve potential Remote Code Execution (RCE).

This skill provides comprehensive methods to detect Cobalt Strike beacon command-and-control (C2) traffic. It uses advanced network forensics techniques, including analyzing default TLS certificates (e.g., serial 8BB00EE), JA3/JA3S fingerprints, HTTP malleable profiles, and beacon interval jitter, leveraging Zeek logs, Suricata rules, and Python PCAP analysis. It is essential for threat hunters and SOC analysts investigating sophisticated C2 communications.

Audits a domain’s email authentication by querying SPF, DKIM, and DMARC DNS records using dnspython, validating syntax/counts, flagging common spoofing risks, and producing remediation guidance.

This guide details the configuration and implementation of mutual TLS (mTLS) authentication between microservices. It utilizes Python's cryptography library for robust certificate generation, validation, and secure service-to-service authentication, essential for adopting zero-trust security models.

Learn how to implement Runtime Application Self-Protection (RASP) agents for Java and Python web applications. This skill covers deploying OpenRASP, detecting OWASP Top 10 attacks (SQLi, XSS, RCE), configuring security policies, and integrating real-time security alerts with SIEM platforms for comprehensive defense in depth.

This skill guides the implementation of security chaos engineering experiments. It involves deliberately degrading or disabling security controls (like WAF, firewalls, or log pipelines) in a controlled environment to rigorously verify the detection, alerting, and response capabilities of the Security Operations Center (SOC). Users learn to use tools like boto3 and Python to simulate failure scenarios and assess system resilience and compliance posture.

Learn how to build and share structured threat intelligence objects, including indicators, malware, and campaigns, using the stix2 Python library. This guide details publishing data via the TAXII 2.1 protocol, making it essential for developing threat intelligence platforms, automating IOC exchange, and creating machine-readable reports for ISAC/ISAO communities.